Finding Significant Determinants and Impacts of Farm-Level Integrated Pest Management Practices Using Statistical Tools

Md. Sadique Rahman ()
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Md. Sadique Rahman: Sher-e-Bangla Agricultural University, Department of Management and Finance

Chapter Chapter 23 in Statistics for Data Science and Policy Analysis, 2020, pp 321-332 from Springer

Abstract: Abstract The study aims to identify the determinants of adoption of integrated pest management (IPM) and its impacts on productivity and pesticide applications. The study employed two-part poisson hurdle regression, propensity score matching (PSM), and inverse probability weighted regression adjustment (IPWRA) techniques to achieve the objectives. The findings indicated that level of IPM adoption was low. Around 15% and 10% of the respondents adopted poultry refuse and sex pheromone trap, respectively while about 11% adopted both the practices. Decision to adopt significantly influenced by training (p

Keywords: Impact evaluation; Pesticide application; Poisson hurdle model; Propensity score matching; Vegetable farming (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-1735-8_23

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DOI: 10.1007/978-981-15-1735-8_23

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